Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
We demonstrate an intelligent personal assistant agent that has been developed to aid a busy knowledge worker in managing time commitments and performing tasks. The PExA agent dra...
Hung Hai Bui, Federico Cesari, Daniel Elenius, Dav...
Abstract. The Agent Modeling Language (AML) is a semi-formal visual modeling language, specified as an extension to UML 2.0. It is a consistent set of modeling constructs designed...
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Generally, swarm models and algorithms consider synchronous agents, i.e., they act simultaneously. This hypothesis does not fit multi-agent simulators nor robotic systems. In this...